Computer Vision Recognition of Incomplete Symbols in Russian Symbols

Abstract:

In the computer vision recognition of incomplete symbols in Russian symbols, the traditional identification methods can only identify a small number of complete Russian symbols, and have a low recognition rate of the incomplete Russian symbols. To this end, this paper presents a method for computer vision recognition of incomplete symbols in Russian symbols based on Hough transform algorithm. According to the mapping from the image space to the parameter space, the complex edge feature information in image space is transformed into the clustering problem in the parameter space, and the discrimination function and the rules are developed and employed to recognize the image need to be recognized. Experiments show that with Hough transform algorithm to identify incomplete symbols in Russian symbols, the incomplete symbol in Russian symbols can be identified quickly and effectively, which improves the performance of recognition method and meet the needs of many scholars.

• Periodical: Applied Mechanics and Materials (Volumes 651-653)
• Pages: 2283-2286
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.651-653.2283
• Online since: September 2014
• Authors: Hui Jie Sun*, Qiang Chen
• Keywords: Clustering, Images, Recognition

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